From dynatrace
Queries and analyzes AWS resources (EC2, RDS, Lambda, ECS/EKS, VPC, S3, DynamoDB, SQS/SNS) in Dynatrace for inventory, cost optimization, security compliance, and capacity planning.
How this skill is triggered — by the user, by Claude, or both
Slash command
/dynatrace:dt-obs-awsThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Monitor and analyze AWS resources using Dynatrace Smartscape and DQL. Query AWS services, optimize costs, manage security, and plan capacity across your AWS infrastructure.
references/capacity-planning.mdreferences/cost-optimization.mdreferences/database-monitoring.mdreferences/events.mdreferences/load-balancing-api.mdreferences/messaging-event-streaming.mdreferences/metrics-performance.mdreferences/resource-management.mdreferences/resource-ownership.mdreferences/security-compliance.mdreferences/serverless-containers.mdreferences/vpc-networking-security.mdreferences/workload-detection.mdMonitor and analyze AWS resources using Dynatrace Smartscape and DQL. Query AWS services, optimize costs, manage security, and plan capacity across your AWS infrastructure.
Use this skill when the user needs to work with AWS resources in Dynatrace. Load the reference file for the task type:
AWS resources use the AWS_* prefix and can be queried using the smartscapeNodes function. All AWS entities are automatically discovered and modeled in Dynatrace Smartscape.
Compute: AWS_EC2_INSTANCE, AWS_LAMBDA_FUNCTION, AWS_ECS_CLUSTER, AWS_ECS_SERVICE, AWS_EKS_CLUSTER
Networking: AWS_EC2_VPC, AWS_EC2_SUBNET, AWS_EC2_SECURITYGROUP, AWS_EC2_NATGATEWAY, AWS_EC2_VPCENDPOINT
Database: AWS_RDS_DBINSTANCE, AWS_RDS_DBCLUSTER, AWS_DYNAMODB_TABLE, AWS_ELASTICACHE_CACHECLUSTER
Storage: AWS_S3_BUCKET, AWS_EC2_VOLUME, AWS_EFS_FILESYSTEM
Load Balancing: AWS_ELASTICLOADBALANCINGV2_LOADBALANCER, AWS_ELASTICLOADBALANCINGV2_TARGETGROUP
Messaging: AWS_SQS_QUEUE, AWS_SNS_TOPIC, AWS_EVENTS_EVENTBUS, AWS_MSK_CLUSTER
All AWS entities include:
aws.account.id - AWS account identifieraws.region - AWS region (e.g., us-east-1)aws.resource.id - Unique resource identifieraws.resource.name - Resource nameaws.arn - Amazon Resource Nameaws.vpc.id - VPC identifier (for VPC-attached resources)aws.subnet.id - Subnet identifieraws.availability_zone - Availability zoneaws.security_group.id - Security group IDs (array)tags - Resource tags (use tags[TagName])AWS-originated logs (fetch logs) carry these fields — no exploration needed:
aws.region, aws.account.id, aws.service, aws.log_group, aws.log_streamcontent, loglevel, timestamp, k8s.*, dt.smartscape.*AWS-originated bizevents (fetch bizevents) carry:
aws.region, aws.account.id, event.type, event.providerUse filter isNotNull(aws.region) to scope to AWS-originated records.
AWS entities use these relationship types:
is_attached_to - Exclusive attachment (e.g., volume to instance)uses - Dependency relationship (e.g., instance uses security group)runs_on - Vertical relationship (e.g., instance runs on AZ)is_part_of - Composition (e.g., instance in cluster)belongs_to - Aggregation (e.g., service belongs to cluster)balances - Load balancing (e.g., target group balances instances)balanced_by - Inverse load-balancing relationship (e.g., load balancer balanced by target group)Dynatrace ingests AWS CloudWatch metrics using this pattern:
cloud.aws.<service>.<MetricName>.By.<DimensionName>
The <service> is the lowercase AWS service name, <MetricName> is the CloudWatch metric name (case-preserved), and <DimensionName> is the CloudWatch dimension.
Examples: cloud.aws.ec2.CPUUtilization.By.InstanceId, cloud.aws.lambda.Invocations.By.FunctionName, cloud.aws.rds.CPUUtilization.By.DBInstanceIdentifier
Use timeseries, not fetch, for these metrics. Group by dt.smartscape_source.id to split by entity.
→ See references/metrics-performance.md for the complete metric catalog by service with DQL query templates.
Get all AWS resources by type:
smartscapeNodes "AWS_*"
| summarize count = count(), by: {type}
| sort count desc
Filter by account and region:
smartscapeNodes "AWS_*"
| filter aws.account.id == "123456789012" and aws.region == "us-east-1"
| fields type, name, aws.resource.id
Using tags for filtering:
smartscapeNodes "AWS_*"
| filter tags[Environment] == "production"
| summarize count = count(), by: {type, aws.region}
→ For complete resource inventory patterns, see references/resource-management.md
List all VPCs:
smartscapeNodes "AWS_EC2_VPC"
| fields name, aws.account.id, aws.region, aws.vpc.id
Find resources in a VPC:
smartscapeNodes "AWS_*"
| filter aws.vpc.id == "vpc-0be61db7c5d2d1bd1"
| summarize resource_count = count(), by: {type, aws.subnet.id}
| sort resource_count desc
Analyze security group usage:
smartscapeNodes "AWS_EC2_INSTANCE"
| filter contains(aws.security_group.id, "sg-abc123")
| fields name, aws.resource.id, aws.vpc.id, aws.subnet.id
→ For VPC networking, see references/vpc-networking-security.md
→ For security group patterns, see references/security-compliance.md
List all RDS instances:
smartscapeNodes "AWS_RDS_DBINSTANCE"
| fields name, aws.account.id, aws.region, aws.vpc.id, aws.availability_zone
Find Multi-AZ databases:
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd multiAZ = awsjson[configuration][multiAZ]
| filter multiAZ == true
| fields name, aws.resource.id, aws.region
Group by engine type:
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd engine = awsjson[configuration][engine]
| summarize db_count = count(), by: {engine, aws.region}
| sort db_count desc
→ For database monitoring, see references/database-monitoring.md
List Lambda functions:
smartscapeNodes "AWS_LAMBDA_FUNCTION"
| fields name, aws.account.id, aws.region, aws.vpc.id
Find ECS services in a cluster:
smartscapeNodes "AWS_ECS_SERVICE"
| traverse "belongs_to", "AWS_ECS_CLUSTER"
| fields name, aws.resource.id, aws.region
List EKS clusters:
smartscapeNodes "AWS_EKS_CLUSTER"
| fields name, aws.account.id, aws.region, aws.vpc.id
→ For serverless, see references/serverless-containers.md
→ For containers, see references/serverless-containers.md
Complete load balancer to instance mapping:
smartscapeNodes "AWS_ELASTICLOADBALANCINGV2_LOADBALANCER"
| parse aws.object, "JSON:awsjson"
| fieldsAdd dnsName = awsjson[configuration][dnsName], scheme = awsjson[configuration][scheme]
| filter scheme == "internet-facing"
| traverse "balanced_by", "AWS_ELASTICLOADBALANCINGV2_TARGETGROUP", direction:backward, fieldsKeep:{dnsName, id}
| fieldsAdd targetGroupName = aws.resource.name
| traverse "balances", "AWS_EC2_INSTANCE", fieldsKeep: {targetGroupName, id}
| fieldsAdd loadBalancerDnsName = dt.traverse.history[-2][dnsName],
loadBalancerId = dt.traverse.history[-2][id],
targetGroupId = dt.traverse.history[-1][id]
→ For load balancing, see references/load-balancing-api.md
Find unattached EBS volumes:
smartscapeNodes "AWS_EC2_VOLUME"
| parse aws.object, "JSON:awsjson"
| fieldsAdd state = awsjson[configuration][state]
| filter state == "available"
| fields name, aws.resource.id, aws.availability_zone, aws.account.id
Analyze EBS costs by type:
smartscapeNodes "AWS_EC2_VOLUME"
| parse aws.object, "JSON:awsjson"
| fieldsAdd volumeType = awsjson[configuration][volumeType],
size = awsjson[configuration][size],
state = awsjson[configuration][state]
| summarize total_volumes = count(), total_size_gb = sum(size), by: {volumeType, state}
| sort total_size_gb desc
→ For cost optimization, see references/cost-optimization.md
Find publicly accessible databases:
smartscapeNodes "AWS_RDS_DBINSTANCE"
| parse aws.object, "JSON:awsjson"
| fieldsAdd publiclyAccessible = awsjson[configuration][publiclyAccessible]
| filter publiclyAccessible == true
| fields name, aws.resource.id, aws.vpc.id, aws.account.id
Security group blast radius:
smartscapeNodes "AWS_EC2_INSTANCE"
| traverse "uses", "AWS_EC2_SECURITYGROUP"
| summarize instance_count = count(), by: {aws.resource.name, aws.vpc.id}
| sort instance_count desc
| limit 20
→ For security, see references/security-compliance.md
Find untagged resources:
smartscapeNodes "AWS_*"
| filter isNull(tags)
| fields type, name, aws.resource.id, aws.account.id, aws.region
Cost allocation by cost center:
smartscapeNodes "AWS_*"
| filter isNotNull(tags[CostCenter])
| summarize resource_count = count(), by: {tags[CostCenter], type}
| sort resource_count desc
→ For resource ownership, see references/resource-ownership.md
| Pattern | Template |
|---|---|
| Discovery | smartscapeNodes "AWS_*" | fieldsAdd <attrs> | filter <cond> | summarize <agg> |
| Config parsing | smartscapeNodes "AWS_<T>" | parse aws.object, "JSON:awsjson" | fieldsAdd f = awsjson[configuration][field] |
| Traversal | smartscapeNodes "AWS_<SRC>" | traverse "<rel>", "AWS_<TGT>" |
| Multi-type | smartscapeNodes "AWS_T1", "AWS_T2" | filter <cond> | summarize count(), by: {type} |
"AWS_*" wildcards when possible)| limit N for explorationisNotNull() checks before accessing nested fieldsaws.object with JSON parser: parse aws.object, "JSON:awsjson"fieldsAdd configField = awsjson[configuration][field]toString() for complex nested objectscontains() or expandaws.object for detailed security contextpubliclyAccessible, storageEncrypted, and similar flagstags[TagName] for filtering by specific tag valuetags is a JSON object, not an array — use isNull(tags) for untagged resources, never arraySize(tags)isNull(tags[TagName]) to find resources missing a specific tagparse aws.object, "JSON:awsjson"cloud.aws.* naming convention (see AWS Metric Naming Convention)direction:backward for reverse relationships (e.g., target group → load balancer)fieldsKeep to maintain important fields through traversaldt.traverse.history[-N]getNodeName() for human-readable resource namesisNotNull() and isNull()countDistinct() for unique resource countsThis skill uses progressive disclosure. Start here for 80% of use cases. Load reference files for detailed specifications when needed.
npx claudepluginhub dynatrace/dynatrace-for-ai --plugin dynatraceAnalyzes AWS costs, monitors CloudWatch metrics, and optimizes operational efficiency using bundled MCP servers for pricing, cost explorer, and CloudWatch.
Estimates AWS costs pre-deployment, analyzes spending with Cost Explorer, queries CloudWatch metrics/logs, and audits CloudTrail. For cost optimization, monitoring, and operational excellence.
Audits AWS costs and provides optimization recommendations for right-sizing, reserved instances, savings plans, unused resources, S3 lifecycle, Compute Optimizer, cost tags, and budgets.